timing

timing is a Python timing library providing timer functionality.

This library is one of many providing timers, but aims to:

• incorporate all patterns for timing execution times
• of functions and code blocks in any situation
• while being minimalistic in complexity but powerful nonetheless.

Some of the library's features are:

• It is compatible with Python 3.8+,
• fully typed, allowing your IDE to provide useful completions,
• tested using pytest and
• well documented by docstrings

Example program:

import time
from timing import Timer

timer = Timer(callback=lambda x: print(f"Took {x:.2f} seconds."))
with timer:
    print("Executing step 1...")
    time.sleep(1)
with timer:
    print("Executing step 2...")
    time.sleep(2)

Output:

Executing step 1...
Took 1.00 seconds.
Executing step 2...
Took 2.00 seconds.

Installation

timing can be installed using

$ python -m pip install timering

Note that on some systems, the Python 3 executable is called python3 instead.

Release Notes

Supported Patterns

Start and Stop

Create a timer, start and stop it:

>>> from timing import Timer
>>> timer = Timer()
>>> timer.start()
>>> timer.stop()
2.442877164

Note that timing.start() creates a new Timer, starts and returns it directly.

Context

Create a timer and measure the execution duration of a context:

>>> with timer:
...     time.sleep(1)
...
>>> timer.get()
1.001198509

Measure Functions

Create a timer and measure a given function:

>>> import time
>>> timer.measure(lambda: time.sleep(2))
>>> timer.get()
2.002377642

Note that timing.measure() creates a new Timer and measures the given function with it. To retrieve the result, pass a callback to timing.measure() or use timing.prevtimer.get() if you are certain it wasn't replaced since the start of your timing.measure() call.

Decorator Pattern / Wrapping Functions

Create a timer and wrap a function to measure its execution duration:

>>> timed_func = timer.wrap(lambda: time.sleep(3))
>>> timed_func()
>>> timer.get()
3.003535439
>>> # alternatively
>>> @timer.wrap
... def timed_func():
...     time.sleep(2)
...
>>> timed_func()
>>> timer.get()
2.002481228

Note that there is also a timing.wrap() method available.

Decorator Generator Pattern

To use Python's @decorator pattern with arguments, libraries often provide functionality for generating decorators:

>>> @timer.wrap()
... def timed_func():
...     time.sleep(1)
...
>>> timed_func()
>>> timer.get()
1.001287624

Note that there is also a timing.wrap() method available.

Configuration

The Timer constructor accepts a unit used for the returned results and a callback called with the result everytime the timer stops. Every method also accepts the applicable arguments to override them once.

Be careful when calling stop() with a unit when a callback is defined as the callback will be called with the result in the new unit and not the one given to the constructor.

Contributing / Feedback

I happily accept feedback and pull requests.

Some ideas:

• Should I add support for registering multiple callbacks with different units?